Stochastic Frontier Estimation of Efficient Learning in Video Games
Document Type
Article
Publication Date
2012
Publication Title
Computers & Education
Abstract
Stochastic Frontier Regression Analysis was used to investigate strategies and skills that are associated with the minimization of time required to achieve proficiency in video games among students in grades four and five. Students self-reported their video game play habits, including strategies and skills used to become good at the video games they play. Results indicated an association between game play time spent during vacation weeks and proficiency at the game, but no such association existed with game play time during typical weeks when school is in session. Several strategies and skills were associated with the minimization of time spent to achieve proficiency at the game, while a few strategies and skills held a negative association with efficient learning in games. Some of the findings paralleled those of prior research on formal education. Gender differences, as well as implications for games and learning are discussed.
Repository Citation
Hamlen, Karla R., "Stochastic Frontier Estimation of Efficient Learning in Video Games" (2012). Educational Studies, Research, and Technology Department Faculty Publications. 34.
https://engagedscholarship.csuohio.edu/edc_f_facpub/34
Original Citation
Hamlen, K. R. (2012). Stochastic frontier estimation of efficient learning in video games. Computers & Education, 58(1), 534-541. doi:10.1016/j.compedu.2011.09.006
DOI
10.1016/j.compedu.2011.09.006
Volume
58
Issue
1
